Lalitha Sankar

Assistant Professor
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ERC 585

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Research expertise: Cyber-security and privacy in the Smart Grid, privacy of electronic data, information- theoretic privacy measures, applications of game theory to privacy problems, finite block-length source coding, distributed state estimation and optimal power flow with security and privacy guarantees in the Smart Grid

Lalitha Sankar received a bachelor’s degree in engineering physics from the Indian Institute of Technology, Bombay, in 1992, a master’s degree in electrical engineering from the University of Maryland in 1994 and a Ph.D. in electrical engineering from Rutgers University in 2007. From 2010-2012, she was an associate research scholar at Princeton University. From 2007-2010, Sankar was a postdoctoral fellow supported by the Princeton University Council on Science and Technology. Prior to her doctoral studies, she was a senior member of technical staff at AT&T Shannon Laboratories from 1995-2002. She received the NSF CAREER Award in January 2014, and an academic excellence award from Rutgers in 2008. She is also the lead PI on a $1.4M 4-year NSF grant on cybersecurity of the electric power system.

Collaborations and industry affiliations
IEEE Information Theory Society, Communications Society, Signal Processing Society

Professional preparation
Ph.D., electrical engineering, Rutgers University
M.S., electrical engineering, University of Maryland
B.Tech., engineering physics, Indian Institute of Technology

Recognition and awards
Rutgers Academic Achievement Award (Doctoral Student of the year in ECE) 2007-2008
IEEE Globecom 2011 Best paper award
NSF CCF award for work on privacy 2010-2013 (co-PI with H Vincent Poor as PI)

Selected publications

Huang, L. Sankar, and A. D. Sarwate, “Incentive Schemes For Privacy-Sensitive Consumers,” Proc. Conf. on Decision and Game Theory for Security, Nov. 2015.

Hu, L. Sankar, and D. Mir, “Cluster-and-Connect: A More Realistic Model for the Electric Power Network Topology,” Proc. IEEE Conference on Smart Grid Communications, Nov. 2015.

Hu, L. Sankar, and D. Mir, “Cluster-and-Connect: An Algorithmic Approach to Generating Synthetic Electric Power Network Topology,” Proc. IEEE Allerton Conference on Computers, Communications, and Control, Sep. 2015.

Moraffah and L. Sankar, “Private Interactive Mechanism,” Proc. IEEE Allerton Conference on Computers, Communications, and Control, Sep. 2015.

Zhang and L. Sankar, “Implications of Unobservable State and Topology Attacks Cyber-physical Attacks,” submitted (under review), IEEE Trans. Smart Grid, Sep 2015.

Belmega, E.; Sankar, L.; and Poor, H., “Enabling Data Exchange in Two-Agent Interactive Systems under Privacy Constraints,” in IEEE Journal Selected Topics in Signal Processing, vol.PP, no.99, April 2015.

Kosut and L. Sankar, “New results on third order coding rate for fixed-to-variable source coding,” submitted IEEE Trans. Information Theory, Jan. 2015, under review.

Liang, O. Kosut, and L. Sankar, “Unobservable attacks on AC state estimation and their physical consequences,” Proc. IEEE Power and Energy Systems General Meeting, Washington DC, Jul 27-31, 2014.

Kosut and L. Sankar, “New results on third order coding rate for fixed-to-variable source coding,” Proc. International Symposium on Information Theory, Honolulu, HI, Jun 29-Jul 4, 2014.

Sankar, S. Raj Rajagopalan and H. V. Poor, “Utility-privacy tradeoff in databases: An information-theoretic approach,” IEEE Transactions on Information Forensics and Security, Special Issue on Privacy and Trust Management in Cloud and Distributed Systems, vol. 8, no. 6, June 2013.

Tandon, L. Sankar and H. V. Poor, “Lossy discriminatory source coding: Side-information privacy,” IEEE Transactions on Information Theory, vol. 59, no. 9, Sept. 2013.

Sankar, S. R. Rajagopalan, S. Mohajer and H. V. Poor, “Smart meter privacy: A theoretical framework,” IEEE Transactions on Smart Grid, vol. 4, no. 2, pp. 837-846, June 2013.

Sankar, W. Trappe, K. Ramachandran, H. V. Poor and M. Debbah, “The role of signal processing in meeting privacy challenges,” IEEE Signal Processing Magazine, Special Issue on Cyber-security and Privacy, vol. 30, no. 4, Sept. 2013.

Kosut and L. Sankar, “Universal fixed-to-variable source coding in the finite blocklength regime,” Proc. of the IEEE International Symposium on Information Theory, Istanbul, Turkey, July 7-12, 2013.